Cite
基于U-net和YOLOv4的绝缘子图像分割与缺陷检测.
MLA
唐小煜, et al. “基于U-Net和YOLOv4的绝缘子图像分割与缺陷检测. (Chinese).” Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban), vol. 52, no. 6, Nov. 2020, pp. 15–21. EBSCOhost, https://doi.org/10.6054/j.jscnun.2020088.
APA
唐小煜, 黄进波, 冯洁文, & 陈锡和. (2020). 基于U-net和YOLOv4的绝缘子图像分割与缺陷检测. (Chinese). Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban), 52(6), 15–21. https://doi.org/10.6054/j.jscnun.2020088
Chicago
唐小煜, 黄进波, 冯洁文, and 陈锡和. 2020. “基于U-Net和YOLOv4的绝缘子图像分割与缺陷检测. (Chinese).” Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban) 52 (6): 15–21. doi:10.6054/j.jscnun.2020088.